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Tim Cech
Tim Cech
Verified email at hpi.uni-potsdam.de - Homepage
Title
Cited by
Cited by
Year
Software Forest: A Visualization of Semantic Similarities in Source Code using a Tree Metaphor.
D Atzberger, T Cech, M de La Haye, M Söchting, W Scheibel, ...
VISIGRAPP (3: IVAPP), 112-122, 2021
142021
Large-Scale Evaluation of Topic Models and Dimensionality Reduction Methods for 2D Text Spatialization
D Atzberger, T Cech, M Trapp, R Richter, W Scheibel, J Döllner, ...
IEEE Transactions on Visualization and Computer Graphics, 2023
82023
Visualization of Knowledge Distribution across Development Teams using 2.5 D Semantic Software Maps.
D Atzberger, T Cech, A Jobst, W Scheibel, D Limberger, M Trapp, ...
VISIGRAPP (3: IVAPP), 210-217, 2022
72022
CodeCV: Mining Expertise of GitHub Users from Coding Activities
D Atzberger, N Scordialo, T Cech, W Scheibel, M Trapp, J Döllner
2022 IEEE 22nd International Working Conference on Source Code Analysis and …, 2022
52022
Efficient github crawling using the graphql api
A Jobst, D Atzberger, T Cech, W Scheibel, M Trapp, J Döllner
International Conference on Computational Science and Its Applications, 662-677, 2022
52022
Visualization of Source Code Similarity Using 2.5 D Semantic Software Maps
D Atzberger, T Cech, W Scheibel, D Limberger, J Döllner
International Joint Conference on Computer Vision, Imaging and Computer …, 2021
52021
A benchmark for the use of topic models for text visualization tasks
D Atzberger, T Cech, W Scheibel, D Limberger, M Trapp, J Döllner
Proceedings of the 15th International Symposium on Visual Information …, 2022
22022
Quantifying Topic Model Influence on Text Layouts Based on Dimensionality Reductions.
D Atzberger, T Cech, W Scheibel, J Döllner, T Schreck
VISIGRAPP (1): GRAPP, HUCAPP, IVAPP, 593-602, 2024
12024
Outlier Mining Techniques for Software Defect Prediction
T Cech, D Atzberger, W Scheibel, S Misra, J Döllner
International Conference on Software Quality, 41-60, 2023
12023
A Dashboard for Interactive Convolutional Neural Network Training And Validation Through Saliency Maps.
T Cech, F Simsek, W Scheibel, J Döllner
EuroVis (Posters), 5-7, 2023
12023
Evaluating Architectures and Hyperparameters of Self-supervised Network Projections.
T Cech, D Atzberger, W Scheibel, R Richter, J Döllner
VISIGRAPP (3: IVAPP), 187-194, 2023
12023
Standardness Fogs Meaning: A Position Regarding the Informed Usage of Standard Datasets
T Cech, O Wegen, D Atzberger, R Richter, W Scheibel, J Döllner
arXiv preprint arXiv:2406.13552, 2024
2024
A Dashboard for Simplifying Machine Learning Models using Feature Importances and Spurious Correlation Analysis
T Cech, E Kohlros, W Scheibel, J Döllner
The Eurographics Association, 2024
2024
Interactive Human-guided Dimensionality Reduction using Landmark Positioning
T Cech, C Raue, F Sadrieh, W Scheibel, J Döllner
The Eurographics Association, 2024
2024
Machine Learning for self-serviced Electrocardiograms
T Cech, N Danz, N Noack, L Pirl, J Beilharz, A Polze
HPI Future SOC Lab–Proceedings 2018, 145, 2023
2023
Visual Counterfactual Explanations Using Semantic Part Locations.
F Böttger, T Cech, W Scheibel, J Döllner
KDIR, 63-74, 2023
2023
UNCOVER: Identifying AI Generated News Articles by Linguistic Analysis and Visualization.
L Liebe, J Baum, T Schütze, T Cech, W Scheibel, J Döllner
KDIR, 39-50, 2023
2023
Detecting Outliers in CI/CD Pipeline Logs Using Latent Dirichlet Allocation.
D Atzberger, T Cech, W Scheibel, R Richter, J Döllner
ENASE, 461-468, 2023
2023
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